A Smart Cardiovascular Risk Assessment and Rehabilitation Treatment Suggestion System using Artificial Intelligence and Data Science
Year: 2025
Type: conference-paper
Abstract: Cardiovascular diseases (CVD) are the leading cause of death worldwide, underscoring the urgent need for accessible and personalized health management solutions [1]. This research presents CRIC, a mobile app that leverages AI to generate personalized Cardiac Risk Factor Scores and provide tailored recommendations. By integrating user input, AIdriven analysis, and a secure database, CRIC delivers actionable health insights and reliable educational resources to users [2]. Experiments involving 10 participants demonstrated high user satisfaction, with significant knowledge improvement as post-test scores increased by 30%. While challenges such as data accuracy and navigation were identified, iterative enhancements address these issues effectively. CRIC offers an innovative approach to bridging the gaps in traditional cardiovascular risk assessment, empowering users to make informed decisions about their health and contributing to global efforts in preventive healthcare.
Authors: Gengshuo Wang, Morris Blaustein
Institutions: Pomfret School, California State Polytechnic University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4406837856